Last updated
March 16, 2026
MCP profile
Github HatmanStack Ragstack
Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
Content & MediaPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
Serverless document and media processing with AI chat. Scale-to-zero architecture — no vector database fees, no idle costs. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock or your AI assistant via MCP.
Capabilities
☁️ Fully serverless architecture (Lambda, Step Functions, S3, DynamoDB)🧠 NEW Amazon Nova multimodal embeddings for text and image vectorization📄 Document processing & vectorization (PDF, images, Office docs, HTML, CSV, JSON, XML, EML, EPUB) → stored in managed knowledge base🎬 NEW Video/audio processing - transcribe speech with AWS Transcribe, searchable by timestamp💬 AI chat with retrieval-augmented context and source attribution📎 Collapsible source citations with optional document downloads⏱️ NEW Media sources with timestamp links - click to play at exact position🔍 Metadata filtering - auto-discover document metadata and filter search results🎯 Relevancy boost for filtered results - prioritize matches from metadata filters🔄 Knowledge Base reindex - regenerate metadata for existing documents with updated settings🗑️ Document management - reprocess, reindex, or delete documents from the dashboard🌐 Web component for any framework (React, Vue, Angular, Svelte)
Tools & Endpoints1
Example Workflow
> Base Pipeline: The core document processing tool - upload, OCR, and query documents. > Project Showcase: See RAGStack powering a real application.
Why Use Github HatmanStack Ragstack?
- ☁️ Fully serverless architecture (Lambda, Step Functions, S3, DynamoDB)
- 🧠 NEW Amazon Nova multimodal embeddings for text and image vectorization
- 📄 Document processing & vectorization (PDF, images, Office docs, HTML, CSV, JSON, XML, EML, EPUB) → stored in managed knowledge base
- 🎬 NEW Video/audio processing - transcribe speech with AWS Transcribe, searchable by timestamp
- 💬 AI chat with retrieval-augmented context and source attribution
- 📎 Collapsible source citations with optional document downloads
- ⏱️ NEW Media sources with timestamp links - click to play at exact position
- 🔍 Metadata filtering - auto-discover document metadata and filter search results
- 🎯 Relevancy boost for filtered results - prioritize matches from metadata filters
- 🔄 Knowledge Base reindex - regenerate metadata for existing documents with updated settings
- 🗑️ Document management - reprocess, reindex, or delete documents from the dashboard
- 🌐 Web component for any framework (React, Vue, Angular, Svelte)
Specifications
Status
live
Industry
Content & Media
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install -r requirements.txtPerformance
Usage
Quick Reference
- Name
- Github HatmanStack Ragstack
- Function
- Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.
- Available Tools
- Each UI tab shows server-side API examples in an expandable section.
- Transport
- Package
- Language
- Python
- Install
- pip install -r requirements.txt
- Source
- External (Registry)
- License
- Open Source
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